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  1. SelectKBest — scikit-learn 1.5.2 documentation

    SelectKBest ( score_func=<function f_classif> , * , k=10 ) [source] #..., chi2 >>> X , y = load_digits ( return_X_y = True ) >>> X . shape...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectKBest.html
    Sat Nov 23 04:49:16 UTC 2024
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  2. Comparing Linear Bayesian Regressors — scikit-l...

    n_informative = 10 , noise = 8 , coef = True , random_state = 42 , )...linthresh = 10e-4 , vmin =- 80 , vmax = 80 ), cbar_kws = { "label"...
    scikit-learn.org/stable/auto_examples/linear_model/plot_ard.html
    Sat Nov 23 04:49:16 UTC 2024
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  3. Release Highlights for scikit-learn 0.22 — scik...

    y_test = train_test_split ( X , y , random_state = 42 ) svc = SVC...LinearSVC X , y = load_iris ( return_X_y = True ) estimators = [ ( "rf"...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_22_0.html
    Sat Nov 23 04:49:15 UTC 2024
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  4. plot_discretization_strategies.py

    """ ========== Demonstrating the different strategies of KBinsDiscretizer...KBinsDiscretizer ========== This example presents the different...
    scikit-learn.org/stable/_downloads/43e84df0b93ff974da370e8da900f2ee/plot_discretization_strategie...
    Fri Nov 22 23:53:26 UTC 2024
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  5. make_column_transformer — scikit-learn 1.5.2 do...

    remainder = 'drop' , sparse_threshold = 0.3 , n_jobs = None , verbose...verbose = False , verbose_feature_names_out = True , force_int_remainder_cols...
    scikit-learn.org/stable/modules/generated/sklearn.compose.make_column_transformer.html
    Sat Nov 23 04:49:14 UTC 2024
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  6. PartialDependenceDisplay — scikit-learn 1.5.2 d...

    n_jobs = None , verbose = 0 , line_kw = None , ice_lines_kw = None...pd_line_kw = None , contour_kw = None , ax = None , kind = 'average'...
    scikit-learn.org/stable/modules/generated/sklearn.inspection.PartialDependenceDisplay.html
    Sat Nov 23 04:49:16 UTC 2024
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  7. RegressorMixin — scikit-learn 1.5.2 documentation

    >>> estimator = MyEstimator ( param = 0 ) >>> X = np . array ([[...self , * , param = 1 ): ... self . param = param ... def fit...
    scikit-learn.org/stable/modules/generated/sklearn.base.RegressorMixin.html
    Sat Nov 23 04:49:16 UTC 2024
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  8. Concentration Prior Type Analysis of Variation ...

    s = 5 , marker = "o" , color = colors [ y ], alpha = 0.8 )...width = 0.9 , color = "#56B4E9" , zorder = 3 , align = "center"...
    scikit-learn.org/stable/auto_examples/mixture/plot_concentration_prior.html
    Sat Nov 23 04:49:15 UTC 2024
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  9. Statistical comparison of models using grid sea...

    hue = y , marker = "o" , s = 25 , edgecolor = "k" , legend...n_splits = 10 , n_repeats = 10 , random_state = 0 ) search = GridSearchCV...
    scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_stats.html
    Sat Nov 23 04:49:15 UTC 2024
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  10. NearestNeighbors — scikit-learn 1.5.2 documenta...

    n_neighbors = 5 , radius = 1.0 , algorithm = 'auto' , leaf_size = 30 ,..., metric = 'minkowski' , p = 2 , metric_params = None , n_jobs...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestNeighbors.html
    Sat Nov 23 04:49:14 UTC 2024
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